Brendon J. Woodford

Publication Activity (10 Years)

Years Active: 1999-2023
Publications (10 Years): 17

Top Topics

Abnormal Event Detection

Background Model

Support Vector Machine

Recent Approaches

Top Venues

Australasian Conference on Artificial Intelligence

Publications

Ahmad Ghandour, Brendon J. Woodford
Guidelines to Develop AI Ethics Policy in Organizations: Perspectives Informed from Two Different Countries' Laws. ACIT (2023)
Fathima Nuzla Ismail, Abira Sengupta, Brendon J. Woodford, Sherlock A. Licorish
A Comparison of One-Class Versus Two-Class Machine Learning Models for Wildfire Prediction in California. AusDM (2023)
Brendon J. Woodford
Automatic Parameter Optimisation Framework for ECoS-based Models. IJCNN (2023)
Ahmad Ghandour, Brendon J. Woodford, Alhanof Almutairi, Hussein Salem Alsrehan
Means to Support the Ends: Forums that Escape the Official Gaze in the Educational Institutions. ACIT (2022)
Brendon J. Woodford
Boosted Self-evolving Neural Networks for Pattern Recognition. AI (2022)
Ahmad Ghandour, Brendon J. Woodford
COVID-19 Impact on E-Commerce in UAE. ACIT (2020)
Brendon J. Woodford, Ahmad Ghandour
An Information Retrieval-Based Approach to Activity Recognition in Smart Homes. ICSOC Workshops (2020)
Fathima Nuzla Ismail, Brendon J. Woodford, Sherlock A. Licorish
Evaluating the Boundaries of Big Data Environments for Machine Learning. Australasian Conference on Artificial Intelligence (2019)
Ahmad Ghandour, Brendon J. Woodford
Ethical Issues in Artificial Intelligence in UAE. ACIT (2019)
Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford
Online Hidden Conditional Random Fields to Recognize Activity-Driven Behavior Using Adaptive Resilient Gradient Learning. ICONIP (1) (2017)
Ahmad Shahi, Jeremiah D. Deng, Brendon J. Woodford
A streaming ensemble classifier with multi-class imbalance learning for activity recognition. IJCNN (2017)
Ahmad Shahi, Brendon J. Woodford, Hanhe Lin
Dynamic Real-Time Segmentation and Recognition of Activities Using a Multi-feature Windowing Approach. PAKDD (Workshops) (2017)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford, Ahmad Shahi
Online Weighted Clustering for Real-time Abnormal Event Detection in Video Surveillance. ACM Multimedia (2016)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Shot Boundary Detection Using Multi-instance Incremental and Decremental One-Class Support Vector Machine. PAKDD (1) (2016)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Anomaly detection in crowd scenes via online adaptive one-class support vector machines. ICIP (2015)
Ahmad Shahi, Brendon J. Woodford, Jeremiah D. Deng
Event Classification Using Adaptive Cluster-Based Ensemble Learning of Streaming Sensor Data. Australasian Conference on Artificial Intelligence (2015)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
A Self-adaptive CodeBook (SACB) model for real-time background subtraction. Image Vis. Comput. 38 (2015)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
Video background modeling: recent approaches, issues and our proposed techniques. Mach. Vis. Appl. 25 (5) (2014)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Spatial-Temporal Pyramid Matching for Crowd Scene Analysis. MLSDA@PRICAI (2014)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Event Detection Using Quantized Binary Code and Spatial-Temporal Locality Preserving Projections. Australasian Conference on Artificial Intelligence (2013)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
Growing Neural Gas Video Background Model (GNG-BM). Australasian Conference on Artificial Intelligence (2013)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
Improving Mixture of Gaussians background model through adaptive learning and Spatio-Temporal voting. ICIP (2013)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
Illumination Invariant Background Model Using Mixture of Gaussians and SURF Features. ACCV Workshops (1) (2012)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
Enhancing the mixture of Gaussians background model with local matching and local adaptive learning. IVCNZ (2012)
Hanhe Lin, Jeremiah D. Deng, Brendon J. Woodford
Video manifold modelling: finding the right parameter settings for anomaly detection. IVCNZ (2012)
Munir Shah, Jeremiah D. Deng, Brendon J. Woodford
Enhanced Codebook Model for Real-Time Background Subtraction. ICONIP (3) (2011)
Brendon J. Woodford
Automatic optimization of pruning in evolving fuzzy neural networks using an entropy measure. IJCNN (2010)
Brendon J. Woodford
Evolving neurocomputing systems for horticulture applications. Appl. Soft Comput. 8 (1) (2008)
Brendon J. Woodford, Da Deng, George L. Benwell
A wavelet-based neuro-fuzzy system for data mining small image sets. ACSW (2004)
Brendon J. Woodford, Nikola K. Kasabov
Ensembles of EFuNNs: An Architecture for a Mutlimodule Classifier. FUZZ-IEEE (2001)
Nikola K. Kasabov, Steven A. Israel, Brendon J. Woodford
The Application of Hybrid Evolving Connectionist Systems to Image Classification. J. Adv. Comput. Intell. Intell. Informatics 4 (1) (2000)
Brendon J. Woodford
Analysing Images of Pest Damage to Apples using Wavelets. New Zealand Computer Science Research Students' Conference (1999)